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NVIDIA / nvidia/Nemotron-3.5-Rerank-8B-BF16

Nemotron 3.5 Rerank 8B BF16

NVIDIA reranker with 8.38B parameters, released on October 20, 2026. It scores each text-query and document pair; documents may contain text, a page image or both. It complements initial retrieval by reranking candidates; it does not generate responses or embeddings. It combines a Pixtral vision encoder with a bidirectional Ministral3 tower.

01 / SUMMARY

The essential

ORIENTATIONMultimodal document reranking

Primary use stated or inferred cautiously from official documentation.

CONTEXT32,768 tokens shared between text and image

Maximum input capacity when published by the source.

EXITOne relevance logit per query-document pair

Documented maximum generation limit.

ACCESSHugging Face · downloadable checkpoint

Verified availability channels.

MODEL TYPEReranking · Vision and documents · Multimodal

Primary functional family and verified specialties.

LICENSEOpenMDW 1.1

Declared terms for API access, model weights, or self-hosting.

02 / TECHNICAL SHEET

Limits and integration

API IDnvidia/Nemotron-3.5-Rerank-8B-BF16
Model typeReranking · Vision and documents · Multimodal
Access modelOpen weights
LicenseOpenMDW 1.1
DeploymentSelf-hosted deployment with NVIDIA GPUs
Release20 OCT 2026
Knowledge cutoffNot published
EntranceText · Image
ExitScores
Context window32,768 tokens shared between text and image
maximum outputOne relevance logit per query-document pair
ReasoningInformation retrieval, not conversational generation
Published toolsCandidate reranking
Structured OutingsUncalibrated logits; higher values indicate greater relevance
Batch processingBatch inference on self-hosted infrastructure
Prompt cacheNot published
Fine-tuningNot published
Verified platformsHugging Face · Transformers · Sentence Transformers · vLLM
BEST SUITED FOR

Semantic search and RAG over reports, tables, charts and infographics. NVIDIA reports text evaluation in 34 languages and visual evaluation in 18; this coverage is not a universal guarantee. Use the exact checkpoint identifier and official query and document prefixes. The examples support batch inference on self-hosted infrastructure.

WORTH MONITORING

The documented limit is 32,768 combined tokens, although the internal configuration declares more positions. Images default to a longest edge of 1,120 pixels, expandable to 1,540. Review any trust_remote_code before execution. The Transformers examples with Flash Attention 2 require version 5.20.0; vLLM 0.32.0 uses a separate environment with Transformers below 5.20.0. Inferama has not run inference.

03 / CAPABILITIES

What it can do

01

Orientation

Semantic search and RAG over reports, tables, charts and infographics. NVIDIA reports text evaluation in 34 languages and visual evaluation in 18; this coverage is not a universal guarantee. Use the exact checkpoint identifier and official query and document prefixes. The examples support batch inference on self-hosted infrastructure.

02

Context

32,768 tokens shared between text and image · One relevance logit per query-document pair

03

Tools and integration

Candidate reranking

04

Access

Hugging Face · downloadable checkpoint

Input modalities
TextImage
04 / PRICES

Documented cost

ConceptWorthUnit/condition
Standard inputNo published official API rateStandard API rate
Cached inputNot publishedReading reused prefixes
Cache write or storageNot publishedThe condition varies by provider
Standard outputSelf-hosted infrastructure costMay include reasoning tokens
Batch inputNot publishedAsynchronous processing
Batch outputNot publishedAsynchronous processing

Public, ungated weights under OpenMDW 1.1, with commercial use subject to its terms and preservation of notices. The Ministral bases retain their Apache 2.0 terms. No hosted commercial API, identifier or price has been verified: numeric cost fields remain empty. Downloading does not eliminate GPU, memory and operating costs.

i Prices change and may depend on level, region or context length. Check the source before making a decision.

05 / EVALUATIONS

How to read the results

“

The official model card mentions ViDoRe V3 and MIRACL-VISION with NDCG@10, but publishes no verifiable numerical scores for this checkpoint. We do not transfer predecessor results or invent ranking positions. Inferama evaluation is pending. For reproduction, retain revision, dataset, languages, candidates, resolution, dimensions, normalization, hardware and latency; compare retrieval and reranking as separate stages.

i ViDoRe V3 and MIRACL-VISION documented; no verified numerical scores.

Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.

06 / VERSIONS

Chronology

nvidia/Nemotron-3.5-Rerank-8B-BF16

Release date stated in the official model card; do not confuse it with repository creation or modification.

07 / SOURCES

Traceability